Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e: Concepts, Tools, and Techniques to Build Intelligent Systems Aurelien Geron’s is an English-language study book for professionals who delve into machine learning and intelligent systems. This reference work offers a practical approach with concrete examples and production-ready Python code for effective implementations.
The book covers a wide range of topics, from linear regression to advanced deep learning techniques. Using frameworks such as scikit-learn, Keras, and TensorFlow, you’ll learn how to build models for, among other things, natural language processing and image recognition. It also addresses topics such as supervised and unsupervised learning, neural networks, generative models, and scalable training via multi-GPUs and Google’s Vertex AI.
This study book aligns with fields such as natural language, artificial intelligence, and machine learning, with practical applications for professionals in computing and data science.